Manage multiple Claude Code instances with different aliases and configurations
AI Debate CLI - Codex vs Claude multi-round debates via local CLIs
Slack interface for Claude — multi-workspace, default channels, persistent cache.
Multi-terminal editor for coordinating multiple Claude Code instances
Codex CLI integration for Ruflo (claude-flow) - OpenAI Codex platform adapter
AI-powered code review automation with CodeRabbit, Linear, and Claude. Multi-agent system for automated code review workflows.
SOTA NPM module for agentic processes using local or cloud LLMs.
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Use Claude Code without an Anthropics account and route it to another LLM provider
Gas Town orchestrator integration for Claude Flow V3 with WASM-accelerated formula parsing and graph analysis
Standalone swarm coordination - up to 100+ agents, 4 topologies, hive-mind, consensus
Claude Code Switch - Instant profile switching between Claude, GLM, Kimi, and more
MCP server for interacting with MySQL databases with write operations support
SDK for building AI agents with Claude Code's capabilities. Programmatically interact with Claude to build autonomous agents that can understand codebases, edit files, and execute workflows.
Use Claude, Anthropic's AI assistant, right from your terminal. Claude can understand your codebase, edit files, run terminal commands, and handle entire workflows for you.
V3 Embedding Service - OpenAI, Transformers.js, Agentic-Flow (ONNX), Mock providers with hyperbolic embeddings, normalization, and chunking
Lightweight core CLI surface for Claude Flow — memory + hooks commands only. Designed to load fast on cold npx cache (<5s) so plugin skills don't race the 30s MCP-startup timeout. The full @claude-flow/cli metapackage lazy-loads everything else on top of
Use Claude Code with multiple AI providers (Claude + Codex) via CLIProxyAPI. Switch models with /model.
Native binary for Claude Code on linux-x64
Feishu (Lark) channel plugin for Claude Code — route multiple groups to isolated Claude instances via a single bot
Generate multiple mocha reports in a single mocha execution.
Claude Code用マルチエージェント知識ワーカーシステムのスキャフォールディングツール
NPM wrapper for claude-mpm Python package - Requires Python 3.8+. Orchestrate Claude with agent delegation and ticket tracking
Multi-root editor implementation for CKEditor 5.
EnhanceSwarm transforms Claude into a sophisticated development team with specialized agents for Backend, Frontend, QA, and Integration. Features detached orchestration, Bullet Train deep integration, automatic worktree merging, and comprehensive logging. Built for production Rails and Bullet Train applications.
Ariadna helps you to create ruby on rails applications (or new features in existing ones)providing structured planning, multi-agent orchestration, and verification workflows via Claude Code slash commands.
A simple tool for bookmarking and resuming Claude Code sessions. Tag sessions with meaningful names using /bm inside Claude Code, then quickly resume them with 'cc <tag>' from anywhere. v1.5.1: Fix multi-session bookmark isolation — sessions sharing a project dir no longer steal each other's bookmarks.
Mario generates and executes marketing plans via structured planning, multi-agent orchestration, and verification workflows via Claude Code slash commands.
Ocak sets up and runs a multi-agent pipeline that autonomously implements GitHub issues using Claude Code. Design issues, run the pipeline, ship code. Let 'em cook.
N2B is a comprehensive AI-powered development toolkit that enhances your daily workflow with smart merge conflict resolution, interactive Jira ticket analysis, and intelligent code diff analysis. Features include: AI-assisted merge conflicts with editor integration, interactive Jira templates with checklists, automatic VCS resolution marking, JSON auto-repair, and multi-LLM support (OpenAI, Claude, Gemini, OpenRouter, Ollama).
Pocketrb is a Ruby AI agent framework featuring async message bus architecture, multi-LLM support (Claude, OpenRouter, RubyLLM), multi-channel messaging (CLI, Telegram, WhatsApp), planning system, context compaction, and simple JSON-based memory with keyword matching.
Fork of RubyLLM with features to power Swarm, a multi-agent orchestration framework. One beautiful Ruby API for GPT, Claude, Gemini, and more. Easily build chatbots, AI agents, RAG applications, and content generators. Features chat (text, images, audio, PDFs), image generation, embeddings, tools (function calling), structured output, Rails integration, and streaming. Works with OpenAI, Anthropic, Google Gemini, AWS Bedrock, DeepSeek, Mistral, Ollama (local models), OpenRouter, Perplexity, GPUStack, and any OpenAI-compatible API. Minimal dependencies - just Faraday, Zeitwerk, and Marcel.
RcrewAI Rails is a comprehensive Rails engine that brings AI agent orchestration to your Rails applications. Build intelligent AI crews that collaborate to solve complex tasks with full database persistence, background job integration, and a beautiful web dashboard for monitoring and management. Features: • ActiveRecord models for crews, agents, tasks, and executions with full persistence • Rails generators for scaffolding AI crews and agents • ActiveJob integration for asynchronous crew execution (works with any Rails background job adapter) • Web dashboard with real-time monitoring and management interface • Multi-LLM support: OpenAI GPT, Anthropic Claude, Google Gemini, Azure OpenAI, Ollama • Production-ready with logging, error handling, and security controls • Human-in-the-loop workflows with approval mechanisms • Tool ecosystem: web search, file operations, SQL, email, code execution
RCrewAI is a powerful Ruby framework for creating autonomous AI agent crews that collaborate to solve complex tasks. Build intelligent workflows with reasoning agents, tool usage, memory systems, and human oversight. Key Features: • Multi-Agent Orchestration: Create crews of specialized AI agents that work together • Multi-LLM Support: OpenAI GPT-4, Anthropic Claude, Google Gemini, Azure OpenAI, Ollama • Rich Tool Ecosystem: Web search, file operations, SQL databases, email, code execution, PDF processing • Agent Memory: Short-term and long-term memory for learning from past executions • Human-in-the-Loop: Interactive approval workflows and collaborative decision making • Advanced Task Management: Dependencies, retries, async execution, and context sharing • Hierarchical Teams: Manager agents that coordinate and delegate to specialist agents • Production Ready: Security controls, error handling, comprehensive logging, and monitoring • Ruby-First Design: Built specifically for Ruby developers with idiomatic patterns • CLI Tools: Command-line interface for creating and managing AI crews
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